Severity analysis for large truck rollover crashes using a random parameter ordered logit model
Large truck rollover crashes present significant financial, industrial, and social impacts. This
paper presents an effort to investigate the contributing factors to large truck rollover crashes …
paper presents an effort to investigate the contributing factors to large truck rollover crashes …
Commercial truck crash injury severity analysis using gradient boosting data mining model
Introduction Truck crashes contribute to a large number of injuries and fatalities. This study
seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 …
seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 …
Differences of overturned and hit-fixed-object crashes on rural roads accompanied by speeding driving: Accommodating potential temporal shifts
X Yan, J He, G Wu, C Zhang, C Wang, Y Ye - Analytic methods in accident …, 2022 - Elsevier
Overturned crashes are associated with a disproportionate number of severe injuries and
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
Investigation of factors affecting the injury severity of single-vehicle rollover crashes: A random-effects generalized ordered probit model
AJ Anarkooli, M Hosseinpour, A Kardar - Accident Analysis & Prevention, 2017 - Elsevier
Rollover crashes are responsible for a notable number of serious injuries and fatalities;
hence, they are of great concern to transportation officials and safety researchers. However …
hence, they are of great concern to transportation officials and safety researchers. However …
A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates
Rollover risk on mountainous interstates is a major concern for transportation agencies due
to the combined mixed effects of adverse weather conditions and complex topography. Such …
to the combined mixed effects of adverse weather conditions and complex topography. Such …
Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes
The single-vehicle crash has been recognized as a critical crash type due to its high fatality
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …
Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model
Rural non-interstate crashes induce a significant amount of severe injuries and fatalities.
Examination of such injury patterns and the associated contributing factors is of practical …
Examination of such injury patterns and the associated contributing factors is of practical …
[HTML][HTML] Are there sex differences in crash and crash-related injury between men and women? A 13-year cohort study of young drivers in Australia
Background Young men have long been known to be disproportionately impacted by road
crash and crash-related injury compared to young women and older drivers. However, there …
crash and crash-related injury compared to young women and older drivers. However, there …
Investigating factors influencing rollover crash risk on mountainous interstates
Introduction: The risk of rollover crashes on mountainous roads is a major concern for
transportation authorities due to adverse weather conditions and complex topography. Such …
transportation authorities due to adverse weather conditions and complex topography. Such …
Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models
Traffic crashes are more likely to occur at intersections where the traffic environment is
complicated. In this study, a hybrid approach combining cluster analysis and hierarchical …
complicated. In this study, a hybrid approach combining cluster analysis and hierarchical …